Guide teams in building LLM applications, RAG systems, and intelligent agents.
npx skills add https://github.com/RaheesAhmed/SajiCode --skill ai-engineer-raheesahmed
Please help me install this Agent Skill. Skill: ai-engineer Source: https://github.com/RaheesAhmed/SajiCode/tree/main/skills/ai-engineer Command: npx skills add https://github.com/RaheesAhmed/SajiCode --skill ai-engineer-raheesahmed
AI engineering teams often struggle to assemble robust, scalable AI-powered applications. This Skill provides a structured blueprint for building production-grade LLM applications, RAG systems, and intelligent agents.
Create a production-ready AI application by selecting models, wiring a RAG pipeline, and orchestrating intelligent agents.
High-intent search queries and answers about installing and using this skill.
Build a production-grade RAG system using pipeline guidance covering ingestion, retrieval, and generation. This Skill provides structured blueprints to ensure robust, scalable retrieval-augmented generation for your LLM applications.
Select an LLM provider using the model selection matrix to evaluate plans and capabilities for multi-agent orchestration. It guides you in choosing the right model to ensure robust, safe deployments for intelligent agents.
Structure LangGraph patterns for multi-agent workflows using the provided agent orchestration guidance. It enables you to build and coordinate intelligent agents for complex, autonomous tasks within your AI applications.
You need prompt engineering templates to optimize LLM application costs and improve output quality. This Skill provides ready-made templates and cost optimization techniques for production-grade AI applications.
Ensure AI safety and secure deployments for chatbots using the included AI safety checklists and best practices. This helps teams build robust, safe autonomous agents and workflows without compromising security.
Vector search without a structured model selection matrix risks poor retrieval accuracy and unoptimized costs. This Skill provides a matrix and pipeline guidance to align vector search with the right provider for robust deployments.
curiositechSelect optimal LLM models and providers based on task complexity and cost.
ouakarDesign and deploy production AI/ML systems with MLOps pipelines and monitoring.
ThedouglerDevelop LLM applications, RAG systems, and agents with vector search and agent frameworks.
nimeshgurungDesign and optimize LLM prompts with RAG and agent workflows.
